Síndrome Metabólica (SM) é um transtorno representado pela agregação de fatores predisponentes para desenvolvimento de doenças cardiovasculares e diabetes. Apesar da importância da SM, há carência de dados sobre as características epidemiológicas desta condição na população brasileira. Determinamos a prevalência da SM por sexo, faixa etária e nível socioeconômico na população da cidade de Vitória, ES, Brasil, utilizando os critérios do NCEP/ATPIII. Foram coletados dados socioeconômicos, bioquímicos, antropométricos e hemodinâmicos em 1.663 indivíduos de amostra randômica da população (25-64 anos) de Vitória. A prevalência foi de 29,8% (IC95 = 28-32%), sem diferença entre sexos. De 25 a 34 anos, a prevalência foi 15,8%, alcançando 48,3% na faixa de 55 a 64 anos. Verificou-se aumento progressivo de prevalência em mulheres do maior para o menor nível socioeconômico. O parâmetro da SM mais freqüente em homens foi hipertensão, seguido de hipertrigliceridemia, baixo HDL-colesterol, hiperglicemia e obesidade abdominal. Nas mulheres, hipertensão em primeiro lugar, seguida do baixo HDL-colesterol, obesidade abdominal, hipertrigliceridemia e hiperglicemia. Conclui-se que a prevalência de SM é elevada, inclusive nos mais jovens, com grande contribuição da hipertensão para o seu diagnóstico. Controle dos fatores de risco deve ser promovido visando reduzir o impacto das doenças cardiovasculares na mortalidade geral.

The Brazil, as well as the world, is in a transition process, with changes in the nutritional, epidemiological and lifestyle profiles. At the same time, a progressive increase in life expectancy and the growth of chronic non-communicable diseases (NCDs) have been observed in recent decades. Among them are cardiovascular diseases whose main risk factor is obesity. In this scenario, anthropometric indicators are essential for the early identification of obesity, especially obesity accumulated in the abdominal region. The conicity index is one of the recommended tools for identifying the distribution of body fat, as it is associated with cardiovascular and metabolic complications in the population, especially in individuals with NCDs. Therefore, the use of the anthropometric indicator as a screening tool both in primary care and in epidemiological studies is recommended for the early identification of abdominal obesity.

There is no data concerning the epidemiology of hyperuricemia in Brazilian population-based studies. To investigate the distribution of serum uric acid and its relationship with demographics and cardiovascular variables. We studied 1,346 individuals. Hyperuricemia was defined as ≥ 6.8 and ≥ 5.4 mg/dL for men and women, respectively. Metabolic syndrome (MS) was defined with NCEP ATP III criteria. The prevalence of hyperuricemia was 13.2%. The association of serum uric acid (SUA) with cardiovascular risk factors was gender-specific: in women, higher SUA was associated with increasing BMI, even after adjustments for age-systolic blood pressure (SBP). In men, the relationship of SUA with HDLc was mediated by BMI, whereas in women, SUA was similar and dependent on BMI, regardless of glucose levels and presence of hypertension. In men, triglycerides, waist circumference (WC) and SBP explained 11%, 4% and 1% of SUA variability, respectively. In women, WC and triglycerides explained 9% and 1% of SUA variability, respectively. Compared to the first quartile, men and women in the fourth quartile had a 3.29 fold and 4.18 fold increase of MS risk, respectively. Women had almost three fold higher prevalence of diabetes mellitus. Normotensive men with MS presented higher SUA, regardless of BMI. Our results seem to justify the need for gender-based evaluation regarding the association of SUA with cardiovascular risk factors, which was more pronounced in women. MS was positively associated with increasing SUA, regardless of gender. Abdominal obesity and hypertriglyceridemia were the main factors associated with hyperuricemia even in normotensive individuals, which may add a higher risk for hypertension.

To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition. This is a cross-sectional epidemiological study with 806 farmers from the main agricultural municipality of the state of Espírito Santo/Brazil, conducted from December 2016 to April 2017. Multimorbidity was defined as the presence of two or more chronic diseases in the same individual, while complex multimorbidity was classified as the occurrence of three or more chronic conditions affecting three or more body systems. Socio-demographic data, occupational contact with pesticides, lifestyle data and clinical condition data were collected through a structured questionnaire. Binary logistic regression was conducted to identify risk factors for multimorbidity. The prevalence of multimorbidity among farmers was 41.5% (n = 328), and complex multimorbidity was 16.7% (n = 132). More than 77% of farmers had at least one chronic illness. Hypertension, dyslipidemia and depression were the most prevalent morbidities. Being 40 years or older (OR 3.33, 95% CI 2.06–5.39), previous medical diagnosis of pesticide poisoning (OR 1.89, 95% CI 1.03–3.44), high waist circumference (OR 2.82, CI 95% 1.98–4.02) and worse health self-assessment (OR 2.10, 95% CI 1.52–2.91) significantly increased the chances of multimorbidity. The same associations were found for the diagnosis of complex multimorbidity. We identified a high prevalence of multimorbidity and complex multimorbidity among the evaluated farmers. These results were associated with increased age, abdominal fat, pesticide poisoning, and poor or fair health self-assessment. Public policies are necessary to prevent, control and treat this condition in this population.

Resumo Objetivo: caracterizar a exposição ocupacional, percepção do risco, práticas de segurança e fatores associados ao uso de equipamento de proteção individual (EPI) durante a manipulação de agrotóxicos. Métodos: estudo transversal com amostra representativa de agricultores de Santa Maria de Jetibá, Espírito Santo. Procedeu-se à caracterização sociodemográfica e ocupacional dos agricultores com exposição direta a agrotóxicos e a identificação dos ingredientes ativos e classificação toxicológica dos produtos utilizados. Resultados: foram referidas 106 marcas comerciais, 45 grupos químicos e 77 ingredientes ativos. Houve predomínio do herbicida glifosato. Dos 550 agricultores avaliados 89% referiram uso de agrotóxicos extremamente tóxicos, 56,3% utilizavam mais de cinco agrotóxicos e 51% trabalhavam há mais de 20 anos em contato direto com estes produtos. Metade não lia rótulo dos agrotóxicos, mais de um terço não observava o tempo de carência para colheita e reaplicação e nem o de reentrada na lavoura; 71,4% não utilizavam EPI ou utilizavam de forma incompleta. Entre os fatores associados à não utilização do EPI, destaca-se a classe socioeconômica (p = 0,002), baixa escolaridade (p = 0,05), falta de suporte técnico (p < 0,001) e não leitura dos rótulos (p < 0,001). Conclusão: os agricultores apresentaram exposição ocupacional prolongada a múltiplos agrotóxicos de elevada toxidade, referindo práticas inseguras de manuseio.

Background: The conicity index is indicated as a tool for assessing the nutritional status of renal individuals undergoing hemodialysis. Thus, this study aimed to estimate the prevalence of abdominal obesity using the conicity index in individuals with chronic kidney disease undergoing hemodialysis to verify its association with sociodemographic, clinical, and lifestyle factors. Materials and methods: This is a cross-sectional study with 941 individuals undergoing hemodialysis in a metropolitan area in southeastern Brazil. The conicity index was estimated and cutoffs of 1.275 and 1.285 for men and women, respectively, were used. For the analysis of the results, binary logistic regression was performed and the odds ratio (OR) was estimated with their respective confidence intervals (95% CI). Results: The conicity index was high in 56.54% of men (95% CI: 34.34–70.16) and 43.46% of women (95% CI: 38.45–55.20). We found that both adult men (OR = 3.71; 95% CI: 2.27–6.07) and adult women (OR = 4.06; 95% CI: 2.41–6.84) were more likely to have abdominal obesity, as well as self-declared mixed-raced (OR: 1.74; 95% CI: 1.01–3.00) and single men (OR: 1.64; 95% CI: 1.00–2.68). Conclusions: The conicity index is an important anthropometric indicator to estimate abdominal obesity in individuals with chronic kidney disease on hemodialysis.